I’m currently a PhD candicate in Southwestern University of Finance and Economics (SWUFE).

• 2020-now Southwestern University of Finance and Economics (SWUFE), Chengdu, China
  • PhD student, Majoring in Management of Big Data, supervised by Gang Kou and Yu Zhao (co-supervise)
• 2015-2018 China University of Petroleum (CUP), Beijing, China
  • Master student, Majoring in Oil-Gas Field Development Engineering

My research interest is causal inference, LLM, and graph learning.

• Huaming Du, Shi Long, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou. Representation Learning of Temporal Graphs with Structural Roles, KDD, 2024, [paper].
• Xingyan Chen, Huaming Du, Mu Wang, Yu Zhao, Xiaoyang Shu, Changqiao Xu, Gabriel-Miro Muntean. A Novel Adaptive 360° Livestreaming with Graph Representation Learning based FoV Prediction, TETC, 2024.
• Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou. Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks, TKDE, 2022, [paper]
• Huaming Du, Zhilong Xie, Jia Song, Yaoxing Yuan, Jiacan Li, Xingyan Chen, Huangen Chen, Yu Zhao, Fuzhen Zhuang, Qing Li. DKPE: Deep keyphrase expansion, Neurocomputing, 2023, [paper]
• Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou. Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks, TKDE, 2022, [paper]
• Yu Zhao, Leilei Wang, Cui Wang, Huaming Du, Shaopeng Wei, Huali Feng, Zongjian Yu, Qing Li. Multi-granularity heterogeneous graph attention networks for extractive document summarization, Neural Networks, 2022, [paper]

• Leader. 基于图神经网络的企业金融风险及其可解释性研究. Supported by the Fundamental Research Funds for the Central Universities (JBK2307016), RMB 10,000.

[email protected]